Senior Solutions Engineer (Manufacturing, Automotive, Defence)

Req ID: FEQ427R376

Location:  London (or surrounding areas)

The Role

As a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.

The Impact You Will Have

Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, GenAI and machine learning

Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins

Own frontline technical relationships with customer engineers, data teams, and technical leads

Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption

Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations

Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community

What We Look For

4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role

Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stage

Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)

Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink)

Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews

Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics

Strong presentation and demo skills — you will build and present a live solution during the interview

Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

Databricks certification or experience with the Databricks Platform

Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow

Background at a data/AI company, cloud provider, or technical consulting firm

Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual …